Computer Security

15 papers with code • 1 benchmarks • 1 datasets

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Use these libraries to find Computer Security models and implementations

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Most implemented papers

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

ManSoSec/Microsoft-Malware-Challenge 13 Nov 2015

This paradigm is presented and discussed in the present paper, where emphasis has been given to the phases related to the extraction, and selection of a set of novel features for the effective representation of malware samples.

Defending Against Neural Fake News

rowanz/grover NeurIPS 2019

We find that best current discriminators can classify neural fake news from real, human-written, news with 73% accuracy, assuming access to a moderate level of training data.

Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams

alipsgh/tornado 7 Sep 2017

In addition, a number of methods have been developed to detect concept drifts in these streams.

Active Anomaly Detection via Ensembles

shubhomoydas/ad_examples 17 Sep 2018

First, we present an important insight into how anomaly detector ensembles are naturally suited for active learning.

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability

shubhomoydas/ad_examples 23 Jan 2019

In this paper, we study the problem of active learning to automatically tune ensemble of anomaly detectors to maximize the number of true anomalies discovered.

Evaluating Explanation Methods for Deep Learning in Security

alewarne/Layerwise-Relevance-Propagation-for-LSTMs 5 Jun 2019

Deep learning is increasingly used as a building block of security systems.

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

allenai/dolma NA 2021

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.

Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

greshake/llm-security 23 Feb 2023

Large Language Models (LLMs) are increasingly being integrated into various applications.

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

xiaojunxu/dnn-binary-code-similarity 22 Aug 2017

The problem of cross-platform binary code similarity detection aims at detecting whether two binary functions coming from different platforms are similar or not.

Robust Neural Malware Detection Models for Emulation Sequence Learning

tychen5/sportslottery 28 Jun 2018

These models target the core of the malicious operation by learning the presence and pattern of co-occurrence of malicious event actions from within these sequences.